Congress Report from 2<sup>nd</sup> Society of Endometriosis and Uterine Disorders Congress, 12-14 May 2016, Barcelona, Spain
Bibliographic record
Abstract
Adenomyosis was the main topic in the 2016 Society of Endometriosis and Uterine Disorders (SEUD) Congress. Latest evidence in endometriosis and other uterine disorders, such as fibroids and abnormal uterine bleeding (AUB) were also covered. About 106 oral communications, practical sessions, and debates on etiology, pathogenesis, diagnosis and treatment of the different themes were presented. Posters on the same topics were on view. Live surgical sessions and video sessions were also held. Six “tips and tricks” sessions in endometriosis and uterine disorders were scheduled at the beginning of each day throughout the congress. Monographic own-language sessions comprising Canadian, Spanish, Asian, Russian and Latin American participants were held with presenters contributing their own vision of the congress topics. Finally, the congress ended with a patient session: dedicated to those who are affected by endometriosis: pain, quality of life, sex-life, and environment were issues covered by specialists and the testimonies of the patients also had their place in the congress.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.121 | 0.043 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".